End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 28.708466910211488
+      value: 24.530927706950965
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,9 +35,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5549
-- Wer Ortho: 64.9493
-- Wer: 28.7085
+- Loss: 0.4308
+- Wer Ortho: 58.1645
+- Wer: 24.5309
 
 ## Model description
 
@@ -65,14 +65,15 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 20
-- training_steps: 100
+- training_steps: 200
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.5367        | 0.4   | 100  | 0.5549          | 64.9493   | 28.7085 |
+| 0.5002        | 0.4   | 100  | 0.5048          | 62.5433   | 27.2025 |
+| 0.4101        | 0.8   | 200  | 0.4308          | 58.1645   | 24.5309 |
 
 
 ### Framework versions